Evidence map›Paper›PMID 31470605›Full record

ArticleInternational journal of molecular sciences2019

Mechanism of Action of Inhaled Insulin on Whole Body Glucose Metabolism in Subjects with Type 2 Diabetes Mellitus.

Rucha J Mehta, Amalia Gastaldelli, Bogdana Balas, Andrea Ricotti, Ralph A DeFronzo, Devjit Tripathy

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 2 countries.

Rucha J MehtaDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA.ORCID 0000-0003-3264-7987
Amalia GastaldelliDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA.ORCID 0000-0003-2594-1651
Bogdana BalasDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Andrea RicottiDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Ralph A DeFronzoDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA.
Devjit TripathyDiabetes Division, Department of Medicine, University of Texas Health Science Center, San Antonio, TX 78229, USA. tripathy@uthscsa.edu.
The University of Texas Health Science Center at San Antonio · US

Funding

Pfizer NA
6 · The paper itself

Abstract

In the current study we investigate the mechanisms of action of short acting inhaled insulin Exubera®, on hepatic glucose production (HGP), plasma glucose and free fatty acid (FFA) concentrations. 11 T2D (Type 2 Diabetes) subjects (age = 53 ± 3 years) were studied at baseline (BAS) and after 16-weeks of Exubera® treatment. At BAS and after 16-weeks subjects received: measurement of HGP (3-

Indexed as

Administration, InhalationBlood GlucoseDiabetes Mellitus, Type 2FastingFatty Acids, NonesterifiedFemaleGlucoseGlucose Tolerance TestGlycated HemoglobinHumansHypoglycemic AgentsInsulinLiverMaleMiddle AgedTriglyceridesBlood GlucoseExuberaFatty Acids, NonesterifiedGlucoseGlycated HemoglobinHypoglycemic AgentsInsulinTriglyceridesdisposition indexhepatic glucose productioninhaled insulinOGTTtracerswhole body glucose metabolism

Identifiers

PMID31470605
PMCPMC6747203
OpenAlexW2970167677

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.